Tom M. Mitchell’s Machine Learning (1997) is not only a textbook but a foundational reference that shapes how machine learning is understood. The book...

Max Tegmark’s Life 3.0 presents artificial intelligence not merely as an engineering achievement but as a major evolutionary shift emerging at the intersection of...

Nick Bostrom’s Superintelligence: Paths, Dangers, Strategies opens with a clear warning: the possibility of superintelligent AI is “quite possibly the greatest challenge humanity has...

Atlas of AI is a book that looks far beyond the definitions of artificial intelligence we usually encounter. Kate Crawford examines AI not only as a technology but as a wide ecosystem involving Earth’s resources, human labor, government policies, and data cultures. The book reveals the hidden structures behind AI through striking examples.

Cathy O’Neil’s Weapons of Math Destruction is a groundbreaking work that clearly and powerfully reveals how algorithms have become invisible forces shaping modern society.

Brian Christian’s The Alignment Problem: Machine Learning and Human Values explores one of the most important questions in today’s AI discussions:“How can we ensure...